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For the Inventor, By the Inventor

Boise, ID, United States of America

Nicolas Soberanes

USPTO Granted Patents = 10

Average Co-Inventor Count = 5.2

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:

goldMedal10 out of 38,002 
 
Micron Technology Incorporated
 patents

Years Active: 2022-2024

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10 patents (USPTO):Explore Patents
1. 12147702 - Host training indication for memory artificial intelligence (2024-11-19),
2. 12131065 - Memory device overhead reduction using artificial intelligence (2024-10-29),
3. 11994942 - Raw bit error rate based trim level adjustments for memory (2024-05-28),
4. 11989421 - Adjustable data protection scheme using artificial intelligence (2024-05-21),
5. 11880595 - Memory cell access techniques for memory systems (2024-01-23),
6. 11869611 - Adjustment to trim settings based on a use of a memory device (2024-01-09),
7. 11715511 - Trim level adjustments for memory based on data use (2023-08-01),
8. 11698858 - Prediction based garbage collection (2023-07-11),
9. 11662943 - Adjustable media management (2023-05-30),
10. 11521694 - Adjustment to trim settings based on a use of a memory device (2022-12-06),

Title: Innovations of Inventor Nicolas Soberanes

Introduction

Nicolas Soberanes is a prominent inventor based in Boise, ID (US). He has made significant contributions to the field of artificial intelligence and memory systems. With a total of 10 patents to his name, Soberanes continues to push the boundaries of technology.

Latest Patents

One of his latest patents is titled "Host training indication for memory artificial intelligence." This invention allows a host to determine whether to train an AI accelerator of a memory sub-system. Upon deciding to train the AI accelerator, the host can identify a training category that corresponds to a memory access request. Additionally, the host provides an indication to the memory sub-system, prompting the training of the AI accelerator based on the identified training category.

Another notable patent is "Memory device overhead reduction using artificial intelligence." This invention relates to methods and apparatuses aimed at reducing memory device overhead through the use of artificial intelligence. The process involves receiving file metadata of a data file and device metadata of the memory device. Based on this information, a number of indicators are selected to indicate the expected use of the data file in the memory device. These indicators are then provided to the memory device, allowing for the data file to be stored alongside other files that have matching indicators.

Career Highlights

Nicolas Soberanes is currently employed at Micron Technology Incorporated, where he applies his expertise in memory technology and artificial intelligence. His work has been instrumental in advancing the capabilities of memory systems.

Collaborations

Throughout his career, Soberanes has collaborated with notable colleagues, including Joseph A De La Cerda and Bruce J Ford. These collaborations have contributed to the innovative projects he has undertaken.

Conclusion

Nicolas Soberanes is a distinguished inventor whose work in artificial intelligence and memory systems has led to significant advancements in technology. His contributions continue to shape the future of memory devices and AI applications.

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